class_docstr: This class ensures a unique API is used to access training, validation and test splits
  of any dataset.
  
  Args:
      n_classes (int): the number of classes.
docstr: Returns: a torch.utils.data.Dataset
      Dataset: a torch.utils.data.Dataset
docstr_tok: ["Returns",":","a","torch.utils.data.Dataset","Dataset",":","a","torch.utils.data.Dataset"]
code: def get_train(self):
      """
      Returns: a torch.utils.data.Dataset
          Dataset: a torch.utils.data.Dataset
      """
      raise NotImplementedError()
  
file_path: pykale/kale/loaddata/dataset_access.py
imports: import torch
  import torch.utils.data
label_desc: Use image node_id 3 for calling the DatasetAccess obj's underlying member method code with example usage: obj.get_train() without return types